A multi-omics recovery factor predicts long COVID in the IMPACC study

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Machine learning reveals the multi-omics recovery factor predicts long COVID early in patients, suggesting potential therapeutic targets.

Lower recovery factor scores were found in long COVID participants compared to recovered ones, indicating a significant predictor.
Machine learning applied to biologic analytes from over 500 patients identified pathways associated with recovery and long COVID.
Immune profiling revealed increased inflammation and changes in cell frequencies as ongoing biomarkers for long COVID.
Highlights the potential for early identification of patients at risk for long COVID based on multi-omics recovery factor scores.

Gabernet et al. (2025) studied this question.

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